A Tactile-Based Framework for Active Object Learning and Discrimination using Multimodal Robotic Skin

In this letter, we propose a complete probabilistic tactile-based framework to enable robots to autonomously explore unknown workspaces and recognize objects based on their physical properties. Our framework consists of three components: 1) an active pretouch strategy to efficiently explore unknown...

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Veröffentlicht in:	IEEE robotics and automation letters Jg. 2; H. 4; S. 2143 - 2150
Hauptverfasser:	Kaboli, Mohsen, Di Feng, Kunpeng Yao, Lanillos, Pablo, Cheng, Gordon
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2017
Schlagworte:	Active tactile learning artificial robotic skin Conductivity force and tactile sensing Robot sensing systems Skin Surface texture tactile object recognition Thermal conductivity Training
ISSN:	2377-3766, 2377-3766
Online-Zugang:	Volltext
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